##############################################################################
#                 School Breakfast and Academic Achievement                  #
#                Published in Economics of Education Review                  #
#                 Cuadros-Menaca, Thomsen and Nayga (2022)                   #
##############################################################################

rm(list=ls()) #start clean
setwd('Your Directory')
library(ggplot2)
library(ggpubr)
library("cowplot")
library(DRDID)
library(did)
library(stargazer)

#Figure A51

Always_poor <- read.dta("Always_poor.dta")

#Math

set.seed(1814)
Att_Math_Unconditional_AP <- att_gt(yname = "ZMath", 
                                    tname = "GradeLevel",
                                    idname = "ID",
                                    gname = "Effgrade", 
                                    data = Always_poor, 
                                    xformla = NULL,
                                    est_method = "dr", 
                                    control_group = "notyettreated",  
                                    bstrap = TRUE, 
                                    biters = 1000, 
                                    print_details = FALSE, 
                                    clustervars = "SchoolLEA",
                                    panel = TRUE) 
Math_es_Unconditional_AP0 <- aggte(Att_Math_Unconditional_AP, type = "dynamic")
FigureA51A<-ggdid(Math_es_Unconditional_AP0, ylim=c(-.4,.4))
Math_balance_Unconditional_AP2 <- aggte(Att_Math_Unconditional_AP, type = "dynamic", balance_e=2)
FigureA51C<-ggdid(Math_balance_Unconditional_AP2, ylim=c(-.4,.4))

#ELA

set.seed(1814)
Att_ELA_Unconditional_AP <- att_gt(yname = "ZELA", 
                                   tname = "GradeLevel", 
                                   idname = "ID", 
                                   gname = "Effgrade", 
                                   data = Always_poor, 
                                   xformla = NULL,
                                   est_method = "dr", 
                                   control_group = "notyettreated", 
                                   bstrap = TRUE, 
                                   biters = 1000, 
                                   print_details = FALSE, 
                                   clustervars = "SchoolLEA", 
                                   panel = TRUE) 
ELA_es_Unconditional_AP0 <- aggte(Att_ELA_Unconditional_AP, type = "dynamic")
FigureA51B<-ggdid(ELA_es_Unconditional_AP0, ylim=c(-.4,.4))
ELA_balance_Unconditional_AP2 <- aggte(Att_ELA_Unconditional_AP, type = "dynamic", balance_e=2)
FigureA51D<-ggdid(ELA_balance_Unconditional_AP2, ylim=c(-.4,.4))

ggdraw() +
  draw_plot(FigureA51A, x = 0, y = 0.5, width = .5, height = 0.45) +
  draw_plot(FigureA51B, x = 0.5, y = 0.5, width = .5, height = 0.45) +
  draw_plot(FigureA51C, x = 0, y = 0, width = .5, height = 0.45) +
  draw_plot(FigureA51D, x = 0.5, y = 0, width = .5, height = 0.45) +
  draw_plot_label(label = c("Panel a.", "Panel b."), size = 12,
                  x = c(0, 0), y = c(1,0.5))